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Data Annotation For Ai Jobs in Raleigh, NC (NOW HIRING)

AI Engineer

Raleigh, NC · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... views for analysis - Building and maintaining data pipelines to support AI model deployment - Applying complex data analysis techniques to discern patterns and trends - Collaborating with team ...

Senior AI/LLM Engineer - Remote

Raleigh, NC · On-site

$53.75 - $69.25/hr

  • Dental

  • Vision

  • Life

  • Retirement

REMOTE - Senior AI/LLM Engineer (Generative AI Solutions) Job Title: Senior AI/LLM Engineer ... For Pay Transparency information, please click here. NTT DATA provides a reasonable range of ...

Develop and enforce ethical guidelines and best practices for AI development and deployment. Qualifications : Required : • Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics ...

Develop and enforce ethical guidelines and best practices for AI development and deployment. Qualifications : Required : • Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics ...

Staff AI Engineer

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science, and research stakeholders * Drive build-vs-buy and vendor evaluation decisions for AI frameworks, models, and infrastructure * Design and scale internal AI platforms including shared ...

Staff AI Engineer

Raleigh, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science, and research stakeholders * Drive build-vs-buy and vendor evaluation decisions for AI frameworks, models, and infrastructure * Design and scale internal AI platforms including shared ...

Staff AI Engineer

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science, and research stakeholders * Drive build-vs-buy and vendor evaluation decisions for AI frameworks, models, and infrastructure * Design and scale internal AI platforms including shared ...

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

  • Medical

  • Retirement

  • PTO

Leads validation activities for AI models, data pipelines, automation workflows, user-facing AI capabilities, vendors, tools, and third-party technologies. * Evaluates quality, reliability, security ...

New

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

  • Medical

  • Retirement

  • PTO

Leads validation activities for AI models, data pipelines, automation workflows, user-facing AI capabilities, vendors, tools, and third-party technologies. * Evaluates quality, reliability, security ...

New

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

  • Medical

  • Retirement

  • PTO

Leads validation activities for AI models, data pipelines, automation workflows, user-facing AI capabilities, vendors, tools, and third-party technologies. * Evaluates quality, reliability, security ...

New

Showing results 21-40

Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What job categories do people searching Data Annotation For Ai jobs in Raleigh, NC look for?

The top searched job categories for Data Annotation For Ai jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Annotation For Ai jobs?

Cities near Raleigh, NC with the most Data Annotation For Ai job openings:

Head of Business Data - Technology, Data, & Operations

Truist

Raleigh, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Truist rating

8.0

Company rating: 8.0 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:The Head of Business Data is the executive leader for the quality of Technology, Data & Operations (TD&O) data and for how that data is used across the business unit. This role carries end-to-end responsibility for TD&O data, from authoritative source through certification and lineage to consumption, including business data governance, data management, reporting, and analytics.
This leader owns TD&O's adherence to the enterprise data governance policy: data ownership and accountability, business data stewardship, the inventory of data-critical business processes, critical data element identification and quality measurement, and the resolution of data issues and sub-issues. The role is accountable to governance requirements established by the Chief Data Governance Officer and partners with the Business Unit/Corporate Functions CDOs, the Chief Divisional Technology, Data, and Operations Officer, and division leaders to execute the business strategy in alignment with the enterprise data strategy. This is a critical role - TD&O's ability to run and modernize its operations depends on data the business unit can trust.
The leader also directs TD&O's use of that data to deliver management insight into performance and operations, including an advanced and nimble analytics capability that turns TD&O data into rapid, decision-grade insight, and the innovation agenda that comes with it across analytics, data science, and modeling. Making TD&O data ready for AI and agentic use is central to the role: certified, well-governed data is the precondition for AI consumption, in adherence with all related data management and AI governance requirements.
This is a senior leadership role. The Head of Business Data leads the TD&O data organization, including hiring, team development, delivery culture, and cross-functional execution, and represents TD&O in executive forums and senior committees, partnering, negotiating, and influencing across technology and business teams.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Develop and execute the business unit/corporate functions (BU/CF) data & analytics strategy and roadmap. This includes coordination with the Chief Business Execution & Risk Officer, BU/CF CDO, and the Chief Divisional Technology, Data, and Operations Officer to align the strategy with the business vision and priorities.
2. Partner across C-Level executive business leaders to transform the business through cultivating data driven decision-making and enabling data analytics to re-engineer processes to grow and sustain the business.
3. Coordinate with the Chief Data Governance Officer to align BU/CF roadmap to data governance priorities, roadmap, and risk/regulatory commitments.
4. Provide regular updates to C-Level BU/CF executives and business unit committees regarding progress across key business initiatives and data risk in relation to appetite.
5. Drive accountability within the BU/CF for data ownership and sound data management practices including partnering with business leaders to resolve open data issues and sub-issues.
6. Own and maintain the BU/CF inventory of data critical business process and partner with process owners to drive adherence to governance requirements.
7. Oversee the business data stewards and partner across the company to implement and sustain data governance requirements across data critical processes and critical data elements.
8. Oversee implementation of the enterprise data strategy within the BU/CF and partner with business leaders to drive modernization efforts, AI enablement, and consumption of data from governed data sources.
9. Manage and execute innovation across data analytics, data science (AI/ML), reporting and modeling.
10. Partner with the AI & Data Office to define the target state tools, solutions, and capabilities to execute on the business strategy.
11. Partner across Truist to achieve the business unit data strategy and roadmap objectives, while bringing best in class industry practices to improve people, process and technology.
12. Accountable to manage the business analytics, data science, data stewards and reporting teams that can span 50-200 teammates.
13. Maintain knowledge of emerging industry practices and technologies while bringing those new practices to Truist.

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Undergraduate degree in either computer science, information systems, analytics, data engineering, finance or equivalent degree
2. Fifteen years of data management experience inclusive of driving enterprise data strategy, data execution, data engineering or software delivery
3. Expert problem solving skills and being able to define detailed strategies
4. Experience in financial services or payments industry
5. Experience in meeting regulatory obligations and operating in a highly regulatory environment
6. Experience partnering with C-Level executives to accomplish business objectives.

Preferred Qualifications:

. Expert in solution designs based upon business requirements

2. Experience in building financial services data strategy

3. Experience in leading business data governance across processes and solutions.

4. Experience in data architecture, solution architecture and/or designing enterprise business processes.

5. Skills demonstrated in data engineering, computer engineering, data transformation (ETL), digital transformation and cloud computing

6. DAMA CDMP certification (Practitioner or Master level).

7. Experience standing up a data product / data mesh operating model with federated governance.

8. Experience making data AI- and agentic-ready in a regulated setting, including adherence to all related data management, model, and AI governance requirements.

9. Experience owning data end-to-end, from authoritative source through certification, lineage, quality measurement, and consumption. This includes operational data such as application inventories, configuration management, entitlements, and incident and change records.

10. Experience building advanced and nimble business analytics capabilities that deliver rapid, decision-grade insight to executive leadership and support regulatory and board reporting.

The annual base salary for this position is $230,000 to $280,000

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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About Truist

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Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019